OBSERVATIONAL STUDIES CURIOUS LOOK INTO AVAILABLE DATA FROM THE CT.GOV REGISTRY
Making sense of large data sets has always been a daunting task, and every tool that makes the life of an analyst easier is worth exploring. This is how trial version of IBM Watson visualizes the data available. The dataset was minimally processed to reflect priority information requirements, in this case insight into the most commonly used study designs over time.
Breakdown of cumulative number of studies by type of funding
Breakdown of cumulative number of studies by interventions
Breakdown of cumulative number of studies by observational model
Breakdown of cumulative number of studies by recruitment
Breakdown of cumulative number of studies by gender
Distribution of number of enrolled patients by study design
Distribution of number of enrolled patients by time perspective
Distribution of number of observational studies by type of funding
Distribution of number of observational studies by gender
Distribution of number of observational studies by intervention
Distribution of number of observational studies by recruitment
Distribution of number of observational studies by phase
Distribution of number of observational studies by time perspective
Distribution of number of observational studies by study results